Category: AIML

AWS Bedrock AgentCore: Enterprise-Grade AI Agent Infrastructure for Production Deployments


AI-Generated Content Disclaimer: This blog post was created with the assistance of AI technology and based on official AWS documentation. While we strive for accuracy, please verify information with the latest AWS documentation and consult AWS support for production implementations. Some commands in the “Step-by-Step Setup” section are not based on actual documentation and have … Continue reading AWS Bedrock AgentCore: Enterprise-Grade AI Agent Infrastructure for Production Deployments →

AI Enhanced Traffic Monitoring


https://youtu.be/3DMKfWDrTv8 Generative AI is a general purpose technology like electricity, capable of empowering existing systems across various sectors. For example, Amazon Connect leverages AI through Amazon Q to boost agent productivity, while Microsoft integrates Copilot to enhance its Office suite.I am exploring the potential of generative AI to improve monitoring systems for critical scenarios such … Continue reading AI Enhanced Traffic Monitoring →

Build a GenAI Chatbot with AWS Serverless Architecture


If you are interested to build a GenAI Chatbot with AWS Serverless architecture. Here you go - I have created a sample project to demonstrate that. https://www.youtube.com/watch?v=5PUlrJ-w2RM Let's take a look at the architecture: The frontend is written in React and deployed to CloudFront with Cognito authentication. The backend has 3 options: Lambda function URL … Continue reading Build a GenAI Chatbot with AWS Serverless Architecture →

Unleashing the Power of Generative AI: Building a Smart Image Library


In our ever-evolving digital landscape, managing and organising vast collections of images can be a daunting task. However, with the advent of Generative AI (GenAI), we now have the ability to revolutionise the way we interact with and search for images. In this blog, we'll explore how to harness the power of GenAI to build … Continue reading Unleashing the Power of Generative AI: Building a Smart Image Library →